Logistics & Operations · AI Procurement
An autonomous agent was developed to manage supplier communications and negotiations directly within the client's CRM.
Outcome
Supplier quoting taken off the procurement team’s desk: the agent reads briefs, images and drawings, then negotiates over WhatsApp and email on its own.
A leading Swiss firm in the interior design and renovations industry built its reputation on meticulous project execution. Success in this market depends on coordinating a complex network of material suppliers and specialized craftspeople, from carpenters to metalworkers. Every detail must be managed with precision to meet high client expectations.
The firm's growth, however, was constrained by an internal friction point-procurement. The process of gathering project needs, contacting multiple suppliers for quotes, and negotiating terms was entirely manual. This administrative work was slow, susceptible to errors, and consumed the procurement team's focus, preventing them from concentrating on strategic sourcing and relationship management.
Robust Devs was engaged to design and build a specific tool to solve this operational drag. We engineered an AI-driven agent that integrates directly into their amoCRM platform. This agent interprets unstructured requests from project managers and then autonomously engages with suppliers to secure quotes, effectively closing the loop on a critical and time-intensive business function.
The challenge
How we solved it
Technologies
Project managers can submit procurement requests in their natural workflow, using plain text, attaching plans, or sharing links. The AI engine parses these unstructured inputs, identifies the necessary items and specifications, and converts them into a structured brief. This removes the need for manual data entry and rigid forms, saving time and reducing misinterpretation.
Once a request is processed, the agent identifies and contacts relevant suppliers from the CRM database via WhatsApp or email. It conducts independent conversations to obtain quotes, negotiating on price and delivery dates based on pre-set business rules. All communications are logged and the best quotes are presented, allowing the procurement team to focus on final decisions rather than the negotiations.
How we built it
Parsed drawings and messages into structured requirements first, then ran each supplier as its own negotiation thread. Project requirements arrive as free text, images and technical documents, so a custom natural language understanding engine extracts materials, dimensions and deadlines into a structure the agent can act on. Without that step there is nothing consistent to negotiate from. The communication module manages concurrent WhatsApp and email conversations as independent threads under a configurable rules engine for price and timeline, and the whole agent lives inside amoCRM as React widgets built on its API, so every exchange is logged to the project record and the buyer never leaves the CRM.
In the client's words
“It reads a photo of a drawing and comes back with quotes. My procurement lead was the biggest sceptic and is now the biggest user.”
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